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Christman Field Latest Observations
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Date Time
MST
Temp
°F
RH
%
DewPt
°F
Wind
mph
Dir
°
Gust
mph
Dir
°
Press
in Hg
Solar
W/m^2
Prec
in
2023-01-31 22:55 7.7 82.1 3.4 3.8 242 6.1 299 24.894 0.0 0.00
2023-01-31 22:50 6.1 81.9 1.8 3.7 315 6.8 313 24.894 0.0 0.00
2023-01-31 22:45 8.5 74.4 2.0 3.1 339 8.3 330 24.896 0.0 0.00
2023-01-31 22:40 9.3 76.1 3.3 4.2 333 7.4 333 24.900 0.0 0.00
2023-01-31 22:35 8.8 78.1 3.4 4.6 1 5.6 345 24.901 0.0 0.00
2023-01-31 22:30 10.8 76.4 4.8 2.3 288 3.2 288 24.900 0.0 0.00
2023-01-31 22:25 11.1 76.2 5.1 0.5 260 1.9 260 24.901 0.0 0.00
2023-01-31 22:20 11.5 75.5 5.2 2.1 217 3.1 261 24.898 0.0 0.00
2023-01-31 22:15 10.1 78.5 4.8 2.4 266 4.2 259 24.899 0.0 0.00
2023-01-31 22:10 10.6 78.0 5.1 2.2 216 4.9 244 24.900 0.0 0.00
2023-01-31 22:05 10.3 78.3 4.9 3.1 247 3.8 248 24.899 0.0 0.00
2023-01-31 22:00 9.5 80.2 4.6 4.5 219 5.5 255 24.897 0.0 0.00
2023-01-31 21:55 11.1 76.3 5.1 4.2 262 8.2 255 24.896 0.0 0.00
2023-01-31 21:50 9.0 86.9 5.9 5.5 251 8.9 253 24.898 0.0 0.00
2023-01-31 21:45 5.8 84.0 2.0 3.7 265 5.0 247 24.899 0.0 0.00
2023-01-31 21:40 6.2 83.5 2.2 3.5 259 4.4 247 24.897 0.0 0.00
2023-01-31 21:35 5.7 85.8 2.4 2.7 317 3.5 316 24.896 0.0 0.00
2023-01-31 21:30 5.3 84.5 1.7 3.1 299 4.3 261 24.899 0.1 0.00
2023-01-31 21:25 5.2 84.3 1.5 2.7 248 4.3 237 24.901 0.0 0.00
2023-01-31 21:20 5.3 82.4 1.1 1.8 249 3.2 249 24.899 0.0 0.00
2023-01-31 21:15 4.7 83.7 0.9 0.8 286 2.1 286 24.897 0.1 0.00
2023-01-31 21:10 4.9 82.6 0.7 1.8 343 2.4 351 24.898 0.1 0.00
2023-01-31 21:05 4.9 82.2 0.7 3.0 351 3.7 310 24.900 0.0 0.00
2023-01-31 21:00 5.1 80.8 0.5 3.2 310 3.9 326 24.900 0.0 0.00
2023-01-31 20:55 6.6 79.4 1.6 3.4 326 4.5 345 24.900 0.0 0.00
2023-01-31 20:50 7.8 78.0 2.3 3.6 1 4.2 4 24.895 0.0 0.00
2023-01-31 20:45 7.3 82.0 3.0 2.6 350 3.0 351 24.895 0.0 0.00
2023-01-31 20:40 5.6 83.8 1.8 2.1 288 2.8 299 24.897 0.0 0.00
2023-01-31 20:35 5.8 78.4 0.5 2.5 231 4.7 337 24.895 0.0 0.00
2023-01-31 20:30 6.4 82.6 2.3 4.9 337 5.8 349 24.894 0.0 0.00
Date Time
MST
Temp
°C
RH
%
DewPt
°C
Wind
m/s
Dir
°
Gust
m/s
Dir
°
Press
hPa
Solar
W/m^2
Prec
mm
2023-01-31 22:55 -13.5 82.1 -15.9 1.7 242 2.7 299 843.00 0.0 0.00
2023-01-31 22:50 -14.4 81.9 -16.8 1.6 315 3.1 313 843.01 0.0 0.00
2023-01-31 22:45 -13.1 74.4 -16.7 1.4 339 3.7 330 843.08 0.0 0.00
2023-01-31 22:40 -12.6 76.1 -15.9 1.9 333 3.3 333 843.20 0.0 0.00
2023-01-31 22:35 -12.9 78.1 -15.9 2.1 1 2.5 345 843.24 0.0 0.00
2023-01-31 22:30 -11.8 76.4 -15.1 1.0 288 1.4 288 843.19 0.0 0.00
2023-01-31 22:25 -11.6 76.2 -15.0 0.2 260 0.9 260 843.24 0.0 0.00
2023-01-31 22:20 -11.4 75.5 -14.9 1.0 217 1.4 261 843.16 0.0 0.00
2023-01-31 22:15 -12.2 78.5 -15.1 1.1 266 1.9 259 843.17 0.0 0.00
2023-01-31 22:10 -11.9 78.0 -15.0 1.0 216 2.2 244 843.20 0.0 0.00
2023-01-31 22:05 -12.0 78.3 -15.0 1.4 247 1.7 248 843.19 0.0 0.00
2023-01-31 22:00 -12.5 80.2 -15.2 2.0 219 2.5 255 843.12 0.0 0.00
2023-01-31 21:55 -11.6 76.3 -14.9 1.9 262 3.7 255 843.06 0.0 0.00
2023-01-31 21:50 -12.8 86.9 -14.5 2.5 251 4.0 253 843.13 0.0 0.00
2023-01-31 21:45 -14.6 84.0 -16.7 1.7 265 2.2 247 843.17 0.0 0.00
2023-01-31 21:40 -14.4 83.5 -16.5 1.5 259 2.0 247 843.12 0.0 0.00
2023-01-31 21:35 -14.6 85.8 -16.5 1.2 317 1.5 316 843.06 0.0 0.00
2023-01-31 21:30 -14.8 84.5 -16.8 1.4 299 1.9 261 843.18 0.1 0.00
2023-01-31 21:25 -14.9 84.3 -16.9 1.2 248 1.9 237 843.23 0.0 0.00
2023-01-31 21:20 -14.8 82.4 -17.2 0.8 249 1.4 249 843.16 0.0 0.00
2023-01-31 21:15 -15.2 83.7 -17.3 0.4 286 0.9 286 843.11 0.1 0.00
2023-01-31 21:10 -15.1 82.6 -17.4 0.8 343 1.1 351 843.16 0.1 0.00
2023-01-31 21:05 -15.1 82.2 -17.4 1.3 351 1.6 310 843.23 0.0 0.00
2023-01-31 21:00 -14.9 80.8 -17.5 1.4 310 1.7 326 843.21 0.0 0.00
2023-01-31 20:55 -14.1 79.4 -16.9 1.5 326 2.0 345 843.21 0.0 0.00
2023-01-31 20:50 -13.5 78.0 -16.5 1.6 1 1.9 4 843.03 0.0 0.00
2023-01-31 20:45 -13.7 82.0 -16.1 1.2 350 1.3 351 843.05 0.0 0.00
2023-01-31 20:40 -14.7 83.8 -16.8 1.0 288 1.3 299 843.11 0.0 0.00
2023-01-31 20:35 -14.6 78.4 -17.5 1.1 231 2.1 337 843.04 0.0 0.00
2023-01-31 20:30 -14.2 82.6 -16.5 2.2 337 2.6 349 843.00 0.0 0.00
CIRA

Cooperative Institute for Research in the Atmosphere

A numerical framework for operational coupled fire-atmosphere-fuel moisture-smoke forecasting

October 25, 2018 11:00 am
CIRA Directors Conference Room

Presented by: CIRA

Hosted by: Jan Mandel, University of Colorado Denver (presenting) Adam Kochanski, University of Utah Sher Schranz, CIRA Martin Vejmelka, AVAST


We present an integrated wildland fire model WRF-SFIRE, based on combining a high resolution, multi-scale weather forecasting model WRF, with a semi-empirical fire spread model, a prognostic dead fuel moisture model, and smoke dispersion. Fire-released heat and moisture impact local meteorology. The fuel moisture model is driven by the atmospheric component of the system in order to render the diurnal and spatial fuel moisture variability. The dead fuel moisture is traced in three different fuel classes (1h, 10h and 100h fuel), which are combined to provide the total dead fuel moisture content at the fire model resolution (tens of meters) using fuel properties at the location. The wind and the fuel moisture in turn impact the fire rate of spread. The sub-kilometer model resolution enables detailed representation of complex terrain, and small-scale variability in surface properties. Ingest of infrared fire perimeters is supported by an interpolation of the fire arrival time between the perimeter and a previous one to spin up the atmosphere model.

The fire simulations are run in online system WRFx. The simulations are initialized by a web-based control system allowing a user to define a fire as well as basic simulation properties such as simulation length, type of meteorological forcing and resolution, anywhere in CONUS and any time meteorological products are available to initialize the weather model. The data is downloaded automatically, and the system monitors execution on a cluster. The simulation results are processed while the model is running and displayed as animations on a web visualization portal.

The portal also provides nationwide nowcasting of fuel moisture, based on the fuel moisture model with assimilation of surface observations of the fuel moisture from RAWS stations.